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专利名称：SYSTEM AND METHOD OF PREDICTING GAS
SATURATION OF A FORMATION USINGNEURAL NETWORKS
发明人：Dingding Chen,Weijun Guo,Larry A. Jacobson申请号：US131437申请日：20090421
公开号：US20110282818A1公开日：20111117
专利附图：
摘要：Predicting gas saturation of a formation using neural networks. At least some ofthe illustrative embodiments include obtaining a gamma count rate decay curve one each
for a plurality of gamma detectors of a nuclear logging tool (the gamma count ratedecay curves recorded at a particular borehole depth), applying at least a portion of eachgamma count rate decay curve to input nodes of a neural network, predicting a valueindicative of gas saturation of a formation (the predicting by the neural network in theabsence of a formation porosity value supplied to the neural network), and producing aplot of the value indicative of gas saturation of the formation as a function of boreholedepth.
申请人：Dingding Chen,Weijun Guo,Larry A. Jacobson
地址：Plano TX US,Katy TX US,Richmond TX US
国籍：US,US,US
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